Journal ArticleDOI
The Satellite Application Facility for Land Surface Analysis
Isabel F. Trigo,Carlos C. DaCamara,Pedro Viterbo,Jean-Louis Roujean,Folke Olesen,Carla Barroso,Fernando Camacho-de-Coca,Dominique Carrer,Sandra C. Freitas,Javier Garcia-Haro,B. Geiger,Françoise Gellens-Meulenberghs,Nicolas Ghilain,Joaquin Melia,Luís Pessanha,Niilo Siljamo,Alirio Arboleda +16 more
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TLDR
The satellite Application Facility for Land Surface Analysis (Land-SAF) as mentioned in this paper takes full advantage of remotely sensed data to support land, landmosphere and biosphere applications, with emphasis on the development and implementation of algorithms that allow operational use of data from European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors.Abstract:
Information on land surface properties finds applications in a range of areas related to weather forecasting, environmental research, hazard management and climate monitoring. Remotely sensed observations yield the only means of supplying land surface information with adequate time sampling and a wide spatial coverage. The aim of the Satellite Application Facility for Land Surface Analysis (Land-SAF) is to take full advantage of remotely sensed data to support land, land-atmosphere and biosphere applications, with emphasis on the development and implementation of algorithms that allow operational use of data from European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors. This article provides an overview of the Land-SAF, with brief descriptions of algorithms and validation results. The set of parameters currently estimated and disseminated by the Land-SAF consists of three main groups: (i) the surface radiation budget, including albedo, land surface temperature, and downward short-and longwave fluxes; (ii) the surface water budget (snow cover and evapotranspiration); and (iii) vegetation and wild-fire parameters.read more
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Journal ArticleDOI
Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery
Martha C. Anderson,William P. Kustas,John M. Norman,Christopher Hain,John R. Mecikalski,Lori Schultz,María P. González-Dugo,Carmelo Cammalleri,Guido D'Urso,Agustin Pimstein,Feng Gao +10 more
TL;DR: In this article, the authors proposed the ALEXI/DisALEXI model, which is a multi-sensor TIR approach to estimating evapotranspiration and detecting the onset and severity of drought.
Journal ArticleDOI
A regional implementation of WOFOST for calculating yield gaps of autumn-sown wheat across the European Union
TL;DR: In this paper, the authors evaluated the strengths and limitations of a regional implementation of the crop growth model WOFOST implemented in the Crop Growth Monitoring System (CGMS) for calculating yield gaps of autumn-sown wheat across the EU25.
Journal ArticleDOI
Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa
Frank-M. Göttsche,Folke-Sören Olesen,Isabel F. Trigo,Annika Bork-Unkelbach,Maria Anna Martin +4 more
TL;DR: Results for the period 2009–2014 show that LSA SAF LST consistently meets its target accuracy: the highest mean root-mean-square error (RMSE) for LSAsaf LST over the African stations was 1.6 °C while mean absolute bias was 0.1 °C.
Journal ArticleDOI
Comparison of three dual‐source remote sensing evapotranspiration models during the MUSOEXE‐12 campaign: Revisit of model physics
TL;DR: In this paper, three dual-source terrestrial evapotranspiration (ET) models were compared using ASTER images during the MUSOEXE-12 campaign in the Heihe River Basin in Northwest China, aiming to better understand the differences in model physics.
Journal ArticleDOI
Validation of remotely sensed surface temperature over an oak woodland landscape — The problem of viewing and illumination geometries
Sofia L. Ermida,Isabel F. Trigo,Carlos C. DaCamara,Frank-M. Göttsche,Folke Olesen,Glynn Hulley +5 more
TL;DR: In this paper, a geometric model is used to quantify the directional effects observed on satellite LST with sufficient accuracy, and the results demonstrate the need to consider the directional character of LST products, especially for validation purposes over heterogeneous land covers.
References
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Journal ArticleDOI
Biomass Burning in the Tropics: Impact on Atmospheric Chemistry and Biogeochemical Cycles
TL;DR: Widespread burning of biomass serves to clear land for shifting cultivation, to convert forests to agricultural and pastoral lands, and to remove dry vegetation in order to promote agricultural productivity and the growth of higher yield grasses, but it may also disturb biogeochemical cycles, especially that of nitrogen.
Journal ArticleDOI
An Enhanced Contextual Fire Detection Algorithm for MODIS
TL;DR: An improved replacement detection algorithm is presented that offers increased sensitivity to smaller, cooler fires as well as a significantly lower false alarm rate.
Journal ArticleDOI
A generalized split-window algorithm for retrieving land-surface temperature from space
Zhengming Wan,Jeff Dozier +1 more
TL;DR: A generalized split-window method for retrieving land-surface temperature (LST) from AVHRR and MODIS data is proposed, which is less sensitive to uncertainty in emissivity and to instrument quantization error, and retrieves land- surface temperature more accurately.
Journal ArticleDOI
A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data
TL;DR: In this article, a surface bidirectional reflectance model was developed for the correction of surface bias in time series of satellite observations, where both sun and viewing angles are varying.
Journal ArticleDOI
Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
TL;DR: In this paper, the spectral vegetation indices (SVI) derived from combinations of spectral reflectance measurements were used to estimate the photosynthetically active radiation absorbed (APAR) by the vegetation.
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